Some properties of a probability model are hard to describe in practical terms. The explanation for this rests upon the fact that most probability models will have both visible and invisible portions.

There are many subjects that we cover regularly here at Quality Digest.

In The Music Man, the con man Prof.

As the vice president of quality for a $1.5 billion-dollar industrial corporation, Hermann Miskelly is responsible for leading its continuous improvement effort.

Customer satisfaction surveys are all the rage these days. Healthcare has a couple of “800 pound gorilla” surveyors whose services (and nontrivial expense) have been pretty much forced upon it. In many cases, targets are set that are used to drive reimbursement.

Here’s a quick rundown of what we covered in part one of our list of top 10 mistakes to avoid when using statistical process control (SPC): training everyone, charting every

As you think about your organization’s manufacturing quality efforts—what you’ve overcome and what you hope to accomplish in the future—there is something you need to know.

Anticipating challenges is always a daunting task for continuous improvement professionals. Unforeseen inefficiencies in process or defects in product development can throw timelines and associated costs into disarray.

Last month we looked at what the empirical rule tells us about the data in a histogram. This month we will consider if there are any commonalities between different probability models